
First Bayesian M-MIMO iterative receiver that uses PIC scheme [1]}. This leads to an elimination of the matrix inversion operations or approximations used in several advanced iterative receivers [2]}, [3]}, [4]}, [5]}. As a result, linearly computational latency processing and a near-optimal performance are achieved.

First Bayesian M-MIMO iterative receiver that derives the learning parameters directly from the symbol errors between estimations and observations in different iterations via the DSC scheme. This is in contrast to the trial and error process used by many Bayesian receivers [2]}, [4]}, [8]}, [5]} to find the learning parameters.

We perform an analysis on the maximum number of users that can be supported by the proposed receiver in exchange of a low complexity signal processing. This analysis has not been discussed in the literature.

